Work

CPD-1 Train/Val/Test Splits and Augmented Data for Pollen Grain Classification

Year: 2026

Type: dataset

Abstract: This dataset contains the training/validation/test partitions (Dataset 1) and an alternative train/test partition (Dataset 2), together with the augmented training set, used in the study 'Comparative Analysis of Methods for Improving the Classification Accuracy of Morphologically Similar Pollen Grain Classes on the CPD-1 Dataset'. It is derived from the Cretan Pollen Dataset v1 (CPD-1), originally created by Tsiknakis, N.; Savvidaki, E.; Kafetzopoulos, S.; Manikis, G.; Vidakis, N.; Marias, K.; Alissandrakis, E., and openly available at https://doi.org/10.5281/zenodo.4756361 under CC BY 4.0. Please cite both the original CPD-1 dataset and this derivative when using these splits.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.22269037

Authors: Abdinabi Mukhamadiyev, Rustam Safarov, Isroil Jumanov, Sunatillo Kholmonov, Toshtemir Khujakulov, Doston Khasanov, Ergashevich Halimjon Khujamatov, Heung Seok Jeon, Cheolwon Lee

Language: English

Topic: Smart Agriculture and AI

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W7211911767

Cites:

Cited by:

Related to: 10